Prediction of posttraumatic stress disorder among adults in flood district

<p>Abstract</p> <p>Background</p> <p>Flood is one of the most common and severe forms of natural disasters. Posttraumatic stress disorder (PTSD) is a common disorder among victims of various disasters including flood. Early prediction for PTSD could benefit the prevention and treatment of PTSD. This study aimed to establish a prediction model for the occurrence of PTSD among adults in flood districts.</p> <p>Methods</p> <p>A cross-sectional survey was carried out in 2000 among individuals who were affected by the 1998 floods in Hunan, China. Multi-stage sampling was used to select subjects from the flood-affected areas. Data was collected through face-to-face interviews using a questionnaire. PTSD was diagnosed according to DSM-IV criteria. Study subjects were randomly divided into two groups: group 1 was used to establish the prediction model and group 2 was used to validate the model. We first used the logistic regression analysis to select predictive variables and then established a risk score predictive model. The validity of model was evaluated by using the model in group 2 and in all subjects. The area under the receiver operation characteristic (ROC) curve was calculated to evaluate the accuracy of the prediction model.</p> <p>Results</p> <p>A total of 2336 (9.2%) subjects were diagnosed as probable PTSD-positive individuals among a total of 25,478 study subjects. Seven independent predictive factors (age, gender, education, type of flood, severity of flood, flood experience, and the mental status before flood) were identified as key variables in a risk score model. The area under the ROC curve for the model was 0.853 in the validation data. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of this risk score model were 84.0%, 72.2%, 23.4%, and 97.8%, respectively, at a cut-off value of 67.5 in the validation data.</p> <p>Conclusions</p> <p>A simple risk score model can be used to predict PTSD among victims of flood.</p

Failure to seroconvert after three doses of inactivated COVID-19 vaccines in a patient co-infected with HBV and HIV: A case report

In the global context of the COVID-19 pandemic, the overall benefits of getting any COVID-19 vaccine approved by the World Health Organization for emergency use outweigh the potential risks, even in people with weakened immune systems, including people living with HIV (PLWH). At present, there are no reports of HIV/hepatitis B virus (HBV) co-infected patients receiving a booster dose of the inactivated COVID-19 vaccine. Here, we describe a patient with HIV/HBV co-infection who did not seroconvert to three doses of the inactivated COVID-19 vaccine

High Oxygen Barrier Property of Poly(propylene carbonate)/Polyethylene Glycol Nanocomposites with Low Loading of Cellulose Nanocrytals

Bionanocomposites of poly­(propylene carbonate) (PPC) enhanced by cellulose nanocrytals (CNCs) are prepared via a two-step process using polyethylene glycol (PEG) as a carrier. Interfacial interaction among PPC, PEG, and CNCs, dispersion of CNCs in bionanocomposites, thermal properties, mechanical behavior, oxygen barrier property, and rheological responses are investigated. The obtained PPC/PEG/CNC nanocomposites display obvious improvement of barrier properties by adding an extremely low loading of CNCs. O₂ permeability is decreased by more than 76% at CNC loading of 0.3 wt %. The Cussler model works better to predict gas barrier for nanocomposites. TEM results show that CNC is well dispersed in the matrix, and the introduction of CNC remarkably increases the tensile strength and storage modulus of PPC. Interestingly, elongation at break of the PPC/PEG/CNC nanocomposite remains above 580%. Moreover, the inclusion of CNCs increases the thermal stability and initial decomposition temperature (<i>T</i>_–5%) of nanocomposites. The <i>T</i>_–5% for the PPC/PEG/0.7CNC nanocomposite is approximately 246.5 °C, which is increased by 17.1% compared with that of pure PPC (210.5 °C). This makes PPC/PEG/CNC nanocomposites a very promising degradable material for food packaging applications

IgG Antibody Responses and Immune Persistence of Two Doses of BBIBP-CorV Vaccine or CoronaVac Vaccine in People Living with HIV (PLWH) in Shenzhen, China

The purpose of this study was to preliminarily evaluate the immunogenicity and immune persistence of inactivated SARS-CoV-2 vaccines in PLWH in the real world. We collected blood samples from 132 PLWH aged 18–59 years who were vaccinated with two doses of BBIBP-CorV vaccine (Sinopharm) or CoronaVac vaccine (SinoVac) at 28 ± 7 days and 180 ± 20 days the after second dose, to detect the level of Spike receptor binding domain-protein specific IgG (S-RBD-IgG) by using chemiluminescence. We found that the BBIBP-CorV vaccine or the CoronaVac vaccine induced lower S-RBD-IgG antibody seropositivity rates and levels in PLWH than in healthy controls (HCs). The BBIBP-CorV vaccine or the CoronaVac vaccine induced lower humoral immune responses in PLWH, having lower CD4+T cell counts (+T cell counts (≥350 cells/μL) after a second dose of vaccination. The BBIBP-CorV vaccine or the CoronaVac vaccine induced lower S-RBD-IgG antibody levels in PLWH, having CD4+T cell counts ≥350 cells/μL compared to HCs. No negative effects were observed in terms of the CD4+T cell counts and HIV RNA viral load (VL) of PLWH after vaccination. Ninety-nine PLWH and eighty-three HCs completed a second blood collection for testing; we found a statistically significant decrease in the humoral immune response both in PLWH and HCs from 28 days to 180 days after a second dose of BBIBP-CorV vaccine or CoronaVac vaccine. The S-RBD-IgG antibody induced by the BBIBP-CorV vaccine or the CoronaVac vaccine declined faster in the PLWH population than in the healthy population, and two doses of the BBIBP-CorV vaccine or the CoronaVac vaccine may not be enough to provide PLWH with persistent immunity against SARS-CoV-2. It is necessary for PLWH to be prioritized for a third dose over the healthy population, but the immunogenicity of the third dose of the homologous or heterologous vaccine requires further study

Association between Air Pollutant Exposure and Dyslipidemia in Middle-aged and Elderly People in Mining Areas

Background Dyslipidemia has become one of the global public health issues. However, the relationship between air pollution and dyslipidemia has been rarely reported. Objective To explore the relationship between air pollutant exposure and dyslipidemia in middle-aged and elderly people in mining areas. Methods A total of 1 965 residents over 45 years old were sampled using cluster random sampling from mining areas in western Hunan from 2018 to 2019. The general data and lipid indices were obtained by using an interviewer-administered questionnaire survey, a physical examination and a laboratory test. The level of air pollution of the mining area was calculated by inverse distance weighted interpolation, and the average daily dose (ADDtotal) of air pollutants of each resident was calculated, and used to divide them into Q1 group (0.5-0.7 m3·kg-1·d-1, n=172), Q2 group (&gt;0.7-0.9 m3·kg-1·d-1, n=870), Q3 group (&gt;0.9-1.1 m3·kg-1·d-1, n=717), and Q4 group (&gt;1.1 m3·kg-1·d-1, n=172). Unconditional Logistic regression was used to analyze the relationship between ADDtotal and dyslipidemia. Results The annual average concentration of PM2.5 in the two mining areas exceeded the National Air Quality Standard (Ⅱ). The prevalence rate of dyslipidemia was 25.3% (498/1 965). There were statistically significant differences in mean age and body mass index (BMI), prevalence of smoking and hypertension between patients with normal and dyslipidemia (P&lt;0.05). The detection ratios of abnormal triglyceride (TG) and high density lipoprotein cholesterol in Q1 to Q4 groups were statistically significant different (P&lt;0.05). After adjusting for age, sex, hypertension, BMI, smoking, diabetes, drinking and other factors, unconditional Logistic regression analysis found that Q2, Q3 and Q4 groups had a greater risk of abnormal TG (P&lt;0.05), and Q4 group also had a greater risk of abnormal total cholesterol (TC) (P&lt;0.05), compared with group Q1 (with the lowest concentration of ADDtotal) . Conclusion The air pollutants in the two mining areas were mainly PM2.5, the ADDtotal of air pollutants was positively correlated with TC and TG anomalies, which provides a reference for further research on the relationship between air pollutant exposure and dyslipidemia

Potential lncRNA regulatory mechanisms in diabetes and its complications

Long noncoding RNAs (lncRNA) are transcripts longer than 200 nucleotides without protein-coding potential. Though these molecules were initially considered as “junk-products” of transcription without biological meaning, recent research advancements have shown that lncRNA plays an important role not only in cellular processes such as proliferation, differentiation and metabolism, but also in pathological processes of cancers，diabetes, and neurodegenerative diseases．In this review, we focus on the potential regulatory roles of lncRNA in diabetes and diabetic complications.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author